Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition

di Jun Ohya (Autore)

Akira Utsumi (Autore)

Junji Yamato (Autore)

Springer-Verlag New York Inc., 2012

Analyzing Video Sequences of Multiple Humans: Tracking, Posture Estimation and Behavior Recognition describes some computer vision-based methods that analyze video sequences of humans. More specifically, methods for tracking multiple humans in a scene, estimating postures of a human body in 3D in real-time, and recognizing a person's behavior (gestures or activities) are discussed. For the tracking algorithm, the authors developed a non-synchronous method that tracks multiple persons by exploiting a Kalman filter that is applied to multiple video sequences. For estimating postures, an algorithm is presented that locates the significant points which determine postures of a human body, in 3D in real-time. Human activities are recognized from a video sequence by the HMM (Hidden Markov Models)-based method that the authors pioneered. The effectiveness of the three methods is shown by experimental results.

• Autore: Jun Ohya, Akira Utsumi, Junji Yamato
• Editore: Springer-Verlag New York Inc.
• Collana: The International Series in Video Computing
• Anno: 2012
• Rilegatura: Paperback / softback
• Pagine: 138 p.
• Dimensioni: 235 x 155 mm
• EAN: 9781461353461

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